Overview
Remote
On Site
USD 182,499.98 per year
Full Time
Skills
Data Analysis
Management consulting
Project scoping
Decision-making
Partner relationship management
Machine Learning (ML)
Design of experiments
Artificial intelligence
Data Science
Product design
Computer science
Operations research
Predictive analytics
Financial services
Insurance
Statistical models
Linear regression
Survival analysis
Neural Network
Deep learning
Cluster analysis
Unsupervised learning
Predictive modelling
Leadership
Data
Modeling
Design
Presentations
Analytics
Analytical skill
Creativity
Algorithms
Specification
Regulatory Compliance
Privacy
Mathematics
Statistics
Economics
Generalized linear model
XGBoost
Transformation
Software development
R
Python
PySpark
SQL
Apache Hadoop
Filing
Training
Administration
Sales
Policies
LinkedIn
Job Details
Job Requisition ID: 90094
Location Designation: Fully Remote
Location: New York, NY This position reports to the NY Life headquarters in New York, NY. Applicants may work from a Home Office anywhere in the U.S.
Offered Wage: $182,499.98/year
Duties: Leads data analysis and modeling projects from project and sample design. Participates in business review meetings with internal and external clients to develop requirements and deliverables. Performs analyses and modeling to final reports and presentations, communicates results, and provides implementation support. Demonstrates to stakeholders how analytics can be implemented to maximize business benefits. Provides strategic consulting, assessments, and project scoping and prepares and presents analytical perspective. Drives the use of data-based decision-making and analytics by active internal partnership management, discovering business opportunities, and creating business value by executing high-priority projects. Leverages advanced statistical and machine-learning techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Leverages scientific approaches (experimental design) to verify the performance of algorithms and predictive models. Works closely with business and technology partners to design, build, and implement Artificial Intelligence (AI) and data science solutions. Communicates with internal stakeholders concerning product design, data specifications, and model implementations. Collaborates with partners concerning ideas and specifics, and with internal clients and stakeholders concerning projects, test results, opportunities, and questions. Resolves problems and removes obstacles to ensure timely and high-quality project completion. Follows industry trends related to insurance and related data and AI processes and businesses. Participates in proof-of-concept tests of new data, software, and technologies. Ensures compliance with regulatory and privacy requirements during the design and implementation of modeling and analysis projects.
Education & Experience Requirements:
Master's degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Scientist or performing predictive analytics within the financial services or insurance industry.
Or, alternatively:
Bachelor's degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Scientist or performing predictive analytics within the financial services or insurance industry.
Required Skills:
Experience must include 2 years in each of the following skills:
(1) Performing statistical modeling leveraging linear regression, generalized linear modeling (GLM), survival analysis, XgBoost, neural network, and deep learning machine-learning models, cluster analysis, and unsupervised learning approaches;
(2) Performing regularization leveraging Ridge, Lasso, and elastic nets regularization techniques and performing predictive modeling leveraging variable selection techniques;
(3) Performing transformation, binning, and high-level categorical reduction feature creation; and hold-outs, cross-validation, and bootstrapping validation; and,
(4) Programming applications leveraging 2 or more of the following languages: R, Python, PySpark, SQL or Hadoop.
Eligible for Employee Referral Program.
This notice is being provided as a result of the filing of an application for permanent alien labor certification for the relevant job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.
Overtime eligible: Exempt
Discretionary bonus eligible: No
Sales bonus eligible: No
Click here to learn more about our benefits . Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation . We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses "Be Good At Life." To learn more, please visit LinkedIn , our Newsroom and the Careers page of .
Job Requisition ID: 90094
Location Designation: Fully Remote
Location: New York, NY This position reports to the NY Life headquarters in New York, NY. Applicants may work from a Home Office anywhere in the U.S.
Offered Wage: $182,499.98/year
Duties: Leads data analysis and modeling projects from project and sample design. Participates in business review meetings with internal and external clients to develop requirements and deliverables. Performs analyses and modeling to final reports and presentations, communicates results, and provides implementation support. Demonstrates to stakeholders how analytics can be implemented to maximize business benefits. Provides strategic consulting, assessments, and project scoping and prepares and presents analytical perspective. Drives the use of data-based decision-making and analytics by active internal partnership management, discovering business opportunities, and creating business value by executing high-priority projects. Leverages advanced statistical and machine-learning techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Leverages scientific approaches (experimental design) to verify the performance of algorithms and predictive models. Works closely with business and technology partners to design, build, and implement Artificial Intelligence (AI) and data science solutions. Communicates with internal stakeholders concerning product design, data specifications, and model implementations. Collaborates with partners concerning ideas and specifics, and with internal clients and stakeholders concerning projects, test results, opportunities, and questions. Resolves problems and removes obstacles to ensure timely and high-quality project completion. Follows industry trends related to insurance and related data and AI processes and businesses. Participates in proof-of-concept tests of new data, software, and technologies. Ensures compliance with regulatory and privacy requirements during the design and implementation of modeling and analysis projects.
Education & Experience Requirements:
Master's degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Scientist or performing predictive analytics within the financial services or insurance industry.
Or, alternatively:
Bachelor's degree in Mathematics, Statistics, Data Science, Computer Science, Economics, Operations Research or related quantitative field (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Scientist or performing predictive analytics within the financial services or insurance industry.
Required Skills:
Experience must include 2 years in each of the following skills:
(1) Performing statistical modeling leveraging linear regression, generalized linear modeling (GLM), survival analysis, XgBoost, neural network, and deep learning machine-learning models, cluster analysis, and unsupervised learning approaches;
(2) Performing regularization leveraging Ridge, Lasso, and elastic nets regularization techniques and performing predictive modeling leveraging variable selection techniques;
(3) Performing transformation, binning, and high-level categorical reduction feature creation; and hold-outs, cross-validation, and bootstrapping validation; and,
(4) Programming applications leveraging 2 or more of the following languages: R, Python, PySpark, SQL or Hadoop.
Eligible for Employee Referral Program.
This notice is being provided as a result of the filing of an application for permanent alien labor certification for the relevant job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.
Overtime eligible: Exempt
Discretionary bonus eligible: No
Sales bonus eligible: No
Click here to learn more about our benefits . Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation . We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses "Be Good At Life." To learn more, please visit LinkedIn , our Newsroom and the Careers page of .
Job Requisition ID: 90094